Rewrite dataset card with proper PhenoBench attribution

README.md

@@ -35,11 +35,11 @@ This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2,179 sam
 
 The images and original annotations are from [PhenoBench](https://www.phenobench.org/),
 a large UAV image dataset for semantic image interpretation in the agricultural
-domain (sugar beet crops and weeds), introduced by Weyler et al. in *PhenoBench
-— A Large Dataset and Benchmarks for Semantic Image Interpretation in the
-Agricultural Domain* (IEEE TPAMI, 2024). This release packages a subset of
-PhenoBench as a FiftyOne dataset and adds object-detection predictions and
-embeddings produced by Voxel51.
+domain (sugar beet crops and weeds), introduced by Weyler et al. in
+[*PhenoBench — A Large Dataset and Benchmarks for Semantic Image Interpretation
+in the Agricultural Domain*](https://arxiv.org/abs/2306.04557) (IEEE TPAMI,
+2024). This release packages a subset of PhenoBench as a FiftyOne dataset and
+adds object-detection predictions and embeddings produced by Voxel51.
 
 ## What's in this dataset
 
@@ -93,7 +93,8 @@ If you use this dataset, please cite the original PhenoBench paper:
   title={PhenoBench: A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain},
   author={Weyler, Jan and Magistri, Federico and Marks, Elias and Chong, Yue Linn and Sodano, Matteo and Roggiolani, Gianmarco and Chebrolu, Nived and Stachniss, Cyrill and Behley, Jens},
   journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
-  year={2024}
+  year={2024},
+  url={https://arxiv.org/abs/2306.04557}
 }
 ```